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Nagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.
Associate Staff Engineer, Generative AI
Location
India
Posted
63 days ago
Salary
0
Seniority
Mid Level
Job Description
Associate Staff Engineer, Generative AI
Nagarro
• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. • Mapping decisions with requirements and be able to translate the same to developers. • Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. • Defining guidelines and benchmarks for NFR considerations during project implementation. • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. • Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. • Understanding and relating technology integration scenarios and applying these learnings in projects. • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. • Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Job Requirements
- Total experience 5+ years.
- Deep understanding of Generative AI fundamentals and transformer-based architectures.
- Must have experience with fine tuning models using (PEFT, LORA, Q-LORA).
- Must have experience with Agentic AI & agents.
- Should have experience with Text to SQL.
- Proven experience with BERT, GPT, LLaMA, and similar LLMs.
- Strong hands-on experience in prompt engineering and RAG techniques.
- Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent.
- Familiarity with multi-agent AI systems and collaborative model workflows.
- Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow).
- Experience integrating models into enterprise platforms and APIs.
- Should have sound experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems.
- Understanding of ML Ops practices and CI/CD pipelines for AI deployment.
- Background in Natural Language Processing (NLP) and Knowledge Engineering.
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